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@kimmonismus· @kimmonismus · X·· 2026-08-21精选AI 评分67
AI 导读

DeepSeek 在 API 平台上线实验性多模态模型 DeepSeek-V4-Flash-Vision-Exp,文本能力与 DeepSeek-V4-Flash 持平,多模态智能体基准表现接近 Opus-4.8。官方称该模型在多模态智能体基准上较 V4-Flash 大幅提升,可通过 model=deepseek-v4-flash-vision-exp 调用,DeepSeek Harness 0.1.1 同日发布并原生支持该模型。转发该消息的作者提到,取得这一成绩的是 Flash 系列中的小模型。

推荐理由

基准对比显示 Flash 小模型在多模态智能体评测上已接近 Opus-4.8,可供判断轻量模型的能力边界。

正文

wtf is happening today: DeepSeek has launched DeepSeek-V4-Flash-Vision-Exp, an experimental multimodal model built for agents that need to see.

And its performance on visual-agent benchmarks moves close to or even outperforms Opus 4.8.

Again: this is the Flash model, the small one!

引用@deepseek_ai@deepseek_ai
DeepSeek-V4-Flash-Vision-Exp is now live on the DeepSeek API Platform! 🚀 🔹 This experimental multimodal model matches DeepSeek-V4-Flash on text capabilities—including agents, reasoning, and world knowledge. 🔹 On multimodal agent benchmarks, V4-Flash-Vision-Exp makes a major leap over V4-Flash, bringing multimodal agent performance close to Opus-4.8. Try it with model='deepseek-v4-flash-vision-exp'. DeepSeek Harness 0.1.1 was released today with out-of-the-box support for the new model. 1/n
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来源:@kimmonismus · x.com